{"as_of":"2026-08-12T18:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d346d783d7ecbb415e19fe7a4abdf6ab4cab94cd99cc1eb6ce599fbc5c88fcfe","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:33:23.428661Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T22:00:47.835850Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.04429","last_updated":"2023-12-07T16:55:04Z","snapshot_observed_at":"2026-08-12T15:59:21.025874Z","submitted_at":"2023-12-07T16:55:04Z","title":"Approximate Caching for Efficiently Serving Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.04429","snapshot_observed_at":"2026-08-10T16:33:23.428661Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.15712","last_updated":"2025-01-22T18:32:12Z","snapshot_observed_at":"2026-08-11T02:26:05.375139Z","submitted_at":"2025-01-22T18:32:12Z","title":"GPUs, CPUs, and... NICs: Rethinking the Network's Role in Serving Complex AI Pipelines","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:23.428661Z"},"links":{"cited_paper":"/paper/2312.04429","citing_paper":"/paper/2502.15712"},"observation_digest":"sha256:03fb65dbc85d552aee5311d72a70550464be4af56b840cdcae1db8da23e7c490","observation_id":"bdc796f3-c0b9-4ad6-b49a-07b290e424f4","resolution":{"observed_at":"2026-08-10T16:33:23.428661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04429","last_updated":"2023-12-07T16:55:04Z","snapshot_observed_at":"2026-08-12T15:59:21.025874Z","submitted_at":"2023-12-07T16:55:04Z","title":"Approximate Caching for Efficiently Serving Diffusion Models","version":1},"cited_work":{"arxiv_id":"2312.04429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.04429","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Approximate caching for efficiently serving diffusion models","venue":null,"work_id":"6444124c-2644-4ca8-9c50-62cd1fabb62b","year":2023},"citing_paper":{"arxiv_id":"2604.04335","last_updated":"2026-04-08T20:38:36Z","snapshot_observed_at":"2026-08-11T03:44:07.089520Z","submitted_at":"2026-04-06T01:02:02Z","title":"GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T20:22:20.395250Z"},"links":{"cited_paper":"/paper/2312.04429","citing_paper":"/paper/2604.04335"},"observation_digest":"sha256:1840d2b378ff68a579babcee138246ef498d2a8636a2f120c7b799b9b84fae3a","observation_id":"d07cc58f-975b-41c0-adbf-313d97241c85","resolution":{"observed_at":"2026-05-10T22:00:47.844041Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.04429/citation-record","integrity":"/paper/2312.04429/integrity","json":"/paper/2312.04429/citation-record.json","paper":"/paper/2312.04429"},"outbound":[],"paper":{"arxiv_id":"2312.04429","last_updated":"2023-12-07T16:55:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T15:59:21.025874Z","submitted_at":"2023-12-07T16:55:04Z","title":"Approximate Caching for Efficiently Serving Diffusion Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.04429."}